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Published on 15 November 2024
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Zheng,R. (2024). Research on the influencing factors of type 2 diabetes. Theoretical and Natural Science,49,46-52.
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Research on the influencing factors of type 2 diabetes

Ru Zheng *,1,
  • 1 College of Art & Science, Syracuse University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/49/20241268

Abstract

Type 2 diabetes has become a serious chronic disease, which poses a great threat to human health. In previous research, the author found that people at higher risk for type 2 diabetes had unchanged characteristics - family history, age, having diabetes during pregnancy and being overweight at birth. Additionally, there are many reasons why people develop type 2 diabetes, such as weight, physical activity, blood pressure, cholesterol levels, smoking, diet, alcohol, stress and health, and sleep. However, with the development of technology in recent years, the influencing factors may have changed. This study mainly collected and analyzed examples of 768 women, including 8 variables such as pregnancy, glucose and so on. The target variable is whether the woman has type 2 diabetes. In this study, the accuracy of both the testing and training model is in a good state at 77%, so the binary logistic regression is acceptable. In order to better understand the influencing factors of type 2 diabetes, more comprehensive data support and more advanced analysis are needed. This model sets the stage for the factors that influence type 2 diabetes in women.

Keywords

Type 2 diabetes, binary logistic regression, influencing factors, Chi-square.

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Cite this article

Zheng,R. (2024). Research on the influencing factors of type 2 diabetes. Theoretical and Natural Science,49,46-52.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Biological Engineering and Medical Science

Conference website: https://2024.icbiomed.org/
ISBN:978-1-83558-601-3(Print) / 978-1-83558-602-0(Online)
Conference date: 25 October 2024
Editor:Alan Wang
Series: Theoretical and Natural Science
Volume number: Vol.49
ISSN:2753-8818(Print) / 2753-8826(Online)

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